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LuckyWell [14K]
3 years ago
12

A fair coin is flipped twice. Let X be the number of heads in the two tosses, and Y be the indicator r.v. for the tosses landing

the same way. That is, Y is equal to 1 if the tosses land in the same way, and 0 otherwise. (a) Find the joint pmf of X and Y.
Mathematics
1 answer:
kiruha [24]3 years ago
4 0

Answer:

Step-by-step explanation:

It can be clearly observed that X\in{0,1,2}  and Y\in {0,1}

Now lets find the probabilities of all possible combinations

P(X=0, Y=0)=P(Y=0|X=0)P(X=0)=0

Since it is impossible that the coin ha flipped in different ways given that all the time the tail has fallen

P(X=1,Y=0)=P(Y=0|X=1)P(X=1)=1\times2\times(\frac{1}{2} )^2 =1/2

P(X=2,Y=0)=P(Y=0|X=2)P(X=2)=1\times2\times(\frac{1}{2} )^2 =1/2

and similarly,

P(X=0,Y=1)=P(Y=1|X=0)P(X=0)=1\times(\frac{1}{2} )^2= 1/4

P(X=1,Y=1)=P(Y=1|X=1)P(X=1)=0

P(X=2,Y=1)=P(Y=1|X=2)P(X=2)=1\times(\frac{1}{2} )^2=1/4

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a) Null hypothesis:\mu \leq 30.2  

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Step-by-step explanation:

1) Data given and notation  

\bar X=32.12 represent the sample mean  

s=4.83 represent the sample standard deviation

n=50 sample size  

\mu_o =30.2 represent the value that we want to test

\alpha represent the significance level for the hypothesis test.  

t would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

a. Define the parameter and state the hypotheses.

We need to conduct a hypothesis in order to check if the mean is higher than 30.2 mpg, the system of hypothesis would be:  

Null hypothesis:\mu \leq 30.2  

Alternative hypothesis:\mu > 30.2  

If we analyze the size for the sample is > 30 but we don't know the population deviation so is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:  

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}  (1)  

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

b. Define the sampling distribution (mean and standard deviation).

Let X the random variable who represent the variable of interest. And we know that the distribution for X is:

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And the distribution for the random sample is given by:

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Calculate the statistic

We can replace in formula (1) the info given like this:  

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The first step is calculate the degrees of freedom, on this case:  

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